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Talking Traffic Lights Tech Challenge: License Plate Recognition Oracle

Summary: In November, Carmony will be participating in the Talking Traffic Light Challenge using Provide to showcase a new application that tracks license plate traffic through intersections, and makes that data queryable. The ambitious project will focus on integrating a license plate recognition oracle, with much of the application foundation built on the Provide platform and the new Provide message bus service that is currently in beta.Talking Traffic Lights blockchain and IoT tech challenge hackathon

In November, Carmony will capitalize on a rare opportunity to work with government traffic data to create a new application that tracks license plate traffic through intersections, and makes that data queryable. The effort will be part of the Talking Traffic Light Challenge that runs from November 7-11, 2019 and will showcase the new Provide message bus.

About Talking Traffic Lights

Talking Traffic Lights is a smart vehicle technology challenge, a hackathon sponsored by the Georgia Department of Transportation (GDOT), Forsyth County, and Digital Ignition. The goal is to have companies interpret GDOT traffic light and connected vehicle data to identify opportunities for road safety in smart vehicles. The tech challenge portion of the event begins on Friday at 8 am and completes on Sunday at noon. The winner will receive $75,000 and an opportunity to pilot their innovation through GDOT.

This Talking Traffic Lights project is the first of its kind—giving participants unprecedented access to comprehensive tier 1 city traffic signal data, as well as GDOT’s technology teams.

Carmony’s license plate oracle

Carmony is reimagining the automotive technology ecosystem with first of its kind blockchain solutions. They’ve been building on Provide since 2017.

Carmony developed an oracle that runs on an IoT device that reads video and other sensor data in real-time, without sending it across the network. When a frame or portion of the video stream is interesting as determined by AI, the oracle stamps out and records a message with the extracted license plate, vehicle data, and raw video. The stamped proofs are submitted to the configured on-chain registry, void of sensitive details. The raw media, along with its metadata are federated onto an IPFS distributed file system.

During the challenge, Carmony will take the GDOT traffic camera feeds and run them through the oracle, while also building a gated search frontend. The search engine and query interface will support license plate queries scoped to a local area and constrained to a date range. It will also support BOLO-style alerts, where for a fee, the system can notify the subscriber when the system locates the plate.

Headstart: Using the new Provide message bus

Carmony’s project is ambitious to complete within the timeframe of the tech challenge. Their relationship with Provide gives them a headstart. Provide has given Carmony access to a new message bus service, currently in beta and available by request. The service transforms public blockchains like Ethereum into public integration fabrics and facilitates secure communications for all kinds of applications.

The Provide message bus creates a smart contract registry, and a regionally load balanced IPFS network with a single line of code.

prvd message_bus init --name ‘my magic bus’

It also provides a publish and subscribe messaging framework that works with permissioned users on the network.

“Leveraging Provide and their new message bus service is how we are able to take on such a bold project in a short time,” stated Carmony CEO Aaron Wuchner. “Essentially we get the blockchain plumbing for our app for free, and we just have to focus on building our app logic. I’m excited to see what we can pull off with this advantage.”

Applications of a license plate oracle

Cameras are already in the street, and being used for a variety of legal and government objectives. Automation would offer a digitally secure way to commoditize these feeds and incentivize their operators. There are lots of applications of this capability, with several types of users benefitting from this automation.

  • Law enforcement. Officers could use a system like this to trace stolen vehicles, locate criminals, and quickly track down Amber Alerts.
  • First responders. AI can detect accidents from audio data and notify first responders in real time to help dispatchers identify the appropriate response from video and clear up accidents faster.
  • Auto finance and repossession. License Plate Recognition (LPR) helps lenders recover up to 35% more vehicles.
  • Insurance. Video evidence could help to settle accident claims more quickly and reduce legal expenses.
  • City planners, Department of Transportation. Real-time traffic counts, incidents, and the use of AI to monitor traffic flow can improve spending and planning.

Stay tuned for more details on the Carmony project after the Talking Traffic Lights Challenge is complete on November 11.

In the meantime, if you are interested in working with the new Provide message bus service, contact us.

About Stacey Schneider

Stacey is a technologist known for bringing early stage technology businesses to market, including ecommerce, open source, cloud computing, and most recently decentralized applications using blockchain technology.

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  1. […] more information on that project see the blog post Talking Traffic Lights Tech Challenge: License Plate Recognition Oracle or check out this project on […]

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